Senior Product Data Analyst at Rain Financial

About the Company Rain makes the next generation of payments possible across the globe. We're a lean and mighty team of passionate builders and veteran founders. Our infrastructure makes stablecoins usable in the real-world by powering card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. You will have the opportunity to deliver massive impact at a hypergrowth company that is funded by some of the top investors in fintech, crypto, and SaaS, including Sapphire Ventures, Norwest, Galaxy Ventures, Lightspeed, Khosla, and several more. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the Role Rain is hiring a Senior Product Data Analyst to be the analytical engine behind our product team. Payments and stablecoin infrastructure generate enormous, rich, and consequential datasets — authorization patterns, ledger movements, partner usage, cardholder behavior — and the decisions we make on top of that data shape the experience for our partners and millions of their end users. This is a senior individual contributor role embedded directly with product. You'll partner with PMs, engineers, and partnerships leads to turn raw data into the sharpest possible product judgment: defining metrics, designing experiments, sizing opportunities, and pulling on the threads that reveal where the product is working and where it isn't. You'll set the analytical bar for the company and own the questions that matter most. What You'll Do • Partner with product leadership as the embedded analyst across cards, payments, and platform — defining the metrics, building the dashboards, and answering the questions that drive roadmap decisions • Design and analyze experiments end to end — hypothesis, sizing, instrumentation, readout, and the prioritization decisions that follow • Run deep-dive analyses on partner usage, activation, retention, and economics, and translate them into sharp, opinionated recommendations • Own the metrics framework for product — what we measure, how we measure it, and what "good" looks like across each surface • Build self-serve analytics, dashboards, and tooling that let the rest of the company answer their own questions, and raise the bar for data literacy across product • Partner with data engineering on the underlying data model — how events, ledger entries, authorizations, and partner data should be shaped to support fast, trustworthy analysis • Surface insights proactively — find the things no one thought to ask and bring them to the team with a clear point of view What We're Looking For • 5–8 years of analyt